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Tabak J, Murphey CR, Moore LE (2001) Parameter estimation methods for single neuron models. J Comput Neurosci 9:215-36[PubMed]

References and models cited by this paper

References and models that cite this paper

Ali-Hassan WA, Saidel GM, Durand D (1992) Estimation of electrotonic parameters of neurons using an inverse Fourier transform technique. IEEE Trans Biomed Eng 39:493-501

Bhalla US, Bower JM (1993) Exploring parameter space in detailed single neuron models: simulations of the mitral and granule cells of the olfactory bulb. J Neurophysiol 69:1948-65 [Journal] [PubMed]

   Granule Cells of the Olfactory Bulb (Simoes_De_Souza et al. 2014) [Model]
   Olfactory Mitral Cell (Bhalla, Bower 1993) [Model]

Borst A, Haag J (1996) The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: I. Passive membrane properties. J Comput Neurosci 3:313-36 [Journal] [PubMed]

   Fly lobular plate VS cell (Borst and Haag 1996, et al. 1997, et al. 1999) [Model]

Burke RE, ten Bruggencate G (1971) Electrotonic characteristics of alpha motoneurones of varying size. J Physiol 212:1-20 [PubMed]

Byrne GD, Hindmarsh AC (1975) A polyalgorithm for the numerical solution of ordinary differential equations Acm Trans Math Software 1:71-96

Dennis JE, Gay DM, Welsch RE (1981) An adaptive nonlinear leastsquares algorithm ACM Transactions On Mathematical Software 7:348-368

Durand D (1984) The somatic shunt cable model for neurons. Biophys J 46:645-53 [PubMed]

Foster WR, Ungar LH, Schwaber JS (1993) Significance of conductances in Hodgkin-Huxley models. J Neurophysiol 70:2502-18 [Journal] [PubMed]

Hodgkin AL, Huxley AF (1952) A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol 117:500-44 [Journal] [PubMed]

   Squid axon (Hodgkin, Huxley 1952) (LabAXON) [Model]
   Squid axon (Hodgkin, Huxley 1952) (NEURON) [Model]
   Squid axon (Hodgkin, Huxley 1952) (SNNAP) [Model]
   Squid axon (Hodgkin, Huxley 1952) used in (Chen et al 2010) (R language) [Model]
   Squid axon (Hodgkin, Huxley 1952) (SBML, XPP, other) [Model]

Kawato M (1984) Cable properties of a neuron model with non-uniform membrane resistivity. J Theor Biol 111:149-69 [PubMed]

Major G, Larkman AU, Jack_jjb (1990) Constraining nonuniqueness in passive electrical models of cortical pyramidal neurones J Physiol 430:13

Major G, Larkman AU, Jonas P, Sakmann B, Jack JJ (1994) Detailed passive cable models of whole-cell recorded CA3 pyramidal neurons in rat hippocampal slices. J Neurosci 14:4613-38 [PubMed]

Mauro A, Conti F, Dodge F, Schor R (1970) Subthreshold behavior and phenomenological impedance of the squid giant axon. J Gen Physiol 55:497-523 [PubMed]

Moore LE, Christensen BN (1985) White noise analysis of cable properties of neuroblastoma cells and lamprey central neurons. J Neurophysiol 53:636-51 [Journal] [PubMed]

Moore LE, Hill RH, Grillner S (1993) Voltage-clamp frequency domain analysis of NMDA-activated neurons. J Exp Biol 175:59-87 [PubMed]

Murphey CR, Moore LE, Buchanan JT (1995) Quantitative analysis of electrotonic structure and membrane properties of NMDA-activated lamprey spinal neurons. Neural Comput 7:486-506 [PubMed]

Murphey CR, Tabak J, Moore LE, Buchanan JT (1996) Estimation of membrane properties from step current measurements of Xenopus neurons Computational Neuroscience, Bower J, ed. pp.107

Nelder JA, Mead J (1965) A simplex algorithm for function minimization Computer J 7:308-313

Press WH, Flannery BP, Teukolsky SA, Vetterling WT (1986) Numerical Recipes The Art Of Scientic Computing, University CAMBRIDGEPRESS, ed.

Rall W (1969) Time constants and electrotonic length of membrane cylinders and neurons. Biophys J 9:1483-508 [PubMed]

Staley KJ, Otis TS, Mody I (1992) Membrane properties of dentate gyrus granule cells: comparison of sharp microelectrode and whole-cell recordings. J Neurophysiol 67:1346-58 [Journal] [PubMed]

Stratford KJ, Mason AJR, Larkman AU, Major G, Jack JJB (1989) The modelling of pyramidal neurones in the visual cortex The Computing Neuron, Durbin R:Miall C:Mitchison G, ed. pp.296

Surkis A, Peskin CS, Tranchina D, Leonard CS (1998) Recovery of cable properties through active and passive modeling of subthreshold membrane responses from laterodorsal tegmental neurons. J Neurophysiol 80:2593-607 [Journal] [PubMed]

Tabak J, Moore LE (1998) Simulation and parameter estimation study of a simple neuronal model of rhythm generation: role of NMDA and non-NMDA receptors. J Comput Neurosci 5:209-35 [Journal] [PubMed]

Tabak J, Murphey CR, Moore LE (1996) Estimation methods in locomotion network activity Soc Neurosci Abstr 22:1372

Weyhing H, Borst A (1997) Parameter search in compartmental models using genetic algorithms Soc Neurosci Abstr 23:655

White JA, Manis PB, Young ED (1992) The parameter estimation problem for the somatic shunt model Biol Cybern 66:307-318

Wright WN, Bardakjian BL, Valiante TA, Perez-Velazquez JL, Carlen PL (1996) White noise approach for estimating the passive electrical properties of neurons. J Neurophysiol 76:3442-50 [PubMed]

Zipser D (1992) Identification models of the nervous system. Neuroscience 47:853-62

Butson CR, Clark GA (2007) Random noise paradoxically improves light-intensity encoding in Hermissenda photoreceptor network. J Neurophysiol : [PubMed]

Lepora NF, Overton PG,Gurney K (2012) Efficient fitting of conductance-based model neurons from somatic current clamp. J. Comp. Neuro. 32(1):1-24 [Journal] [PubMed]

   Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011) [Model]

Roth A, Hausser M (2001) Compartmental models of rat cerebellar Purkinje cells based on simultaneous somatic and dendritic patch-clamp recordings. J Physiol 535:445-72 [PubMed]

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